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This team has tremendous learning opportunities including data-centric AI, deployment, and open source community contribution. Familiarity with open source LLM ecosystem such as Hugging Face and LangChain.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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As a Senior Software Engineer, encompassing roles such as infrastructure engineer, DevOps Engineer, Site Reliability Engineer, and automation engineer, you'll spearhead automation efforts, collaborate with infrastructure experts, and shape the future of IT operations with AI, generative AI, and machine learning.
$168,000 - $287,500 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners. The Adobe Experience Platform handles petabytes of data on behalf of organizations allowing them to have a centralized and standardized data platform applying data science and machine learning (ML) to spectacularly improve the design and delivery of rich, personalized experiences.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are hiring an Alliances Field Engineer to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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Technical skills - Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP). Experience in Machine Learning and Deep Learning, including regression,classification, neural network, and Natural Language Processing (NLP.
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. Stay updated on the latest advancements in machine learning, particularly in the areas of LLM and Deep Learning, and apply cutting-edge techniques to solve complex problems.
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Participate in the development of MLOps/AIOps machine learning platform and open source communities. FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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Engaging open source communities (including Apache Spark, RAPIDS and UCX) for technical discussion and contribution. You will work on open source libraries (such as ) to be used in both on-premises and cloud services (such as Databricks, AWS EMR, Google Dataproc, and Cloudera.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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This could involve developing machine learning methodologies/pipelines including explainable AI and visualization methods, large-scale simulation coupled with active learning and/or machine learning potentials, exploration of future experimental lab technologies, or development of the mathematics of machine learning, AI, or quantum computing.
$104,400 - $143,550 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.
$430,000 - $730,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago
machine learning open source jobs Title: technical program manager in San Jose, CA
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